About Omnidian
Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are headquartered in Seattle, WA
The Job
We are looking for an experienced Data Engineering Manager to drive our Data Engineering efforts. You will support a strong technical team of data engineers focused on data acquisition and our data warehouse pipelines.
You will design and implement the team’s workflow strategy, ensuring transparent and smooth flow of work from intake through delivery.
You will work with data engineering technical leads to ensure a clear tie between company goals and strategies and team OKRs.
This role sits within our Engineering department and will report directly to our Director of Data Management and Information Security.
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What You'll DoAt Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:
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Team Leadership and Development (25%)
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Lead, mentor and coach a team of six Data Engineering professionals, fostering a collaborative environment.
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Ensure team has measurable SMART goals (OKRs) and understands how these goals impact our company goals and strategies; hold yourself and team accountable for performance against these goals
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Own workload management for the Data Engineering team, including intake, prioritization, resource allocation, and metrics
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Own successful outcome and positive impact for critical large scale data engineering projects including project management, resource management and communication
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Mitigate risks and clear blockers
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Collaborate cross functionally to drive initiatives
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Own team performance against established SLAs, including visibility into SLA adherence over time
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Establish and provide visibility for metrics that will identify bottlenecks or other improvement opportunities
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Own proactive communication of the team’s goals and accomplishments
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Work closely with technical data engineering leads to establish a data engineering roadmap
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Drive stakeholder alignment on roadmap and prioritization
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Identify dependencies for successful completion of roadmap, coordinate with stakeholders to ensure dependencies are reflected on appropriate roadmaps
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Tie company objectives back to team roadmap
Who You Are
Are you an experienced Data Engineering Manager? Are you enthusiastic about providing mentoring and coaching to a talented team of Data Engineers? Do you love setting up the right workload management processes and structures so that the team can focus on the technical vision and solving technical problems? Do you have the hands on experience in:
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Leadership Abilities: You possess strong leadership skills; you take satisfaction in supporting a team to achieve great things. You are able to keep a team focused on the most important things.
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Project Management Expertise: You are skilled at breaking down large, sometimes ambiguous projects into milestones, keeping the team on track, and providing visibility into progress to stakeholders
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Data Engineering Expertise: You have hands-on experience designing, building and testing data pipelines. You are familiar with Data Engineering best practices, processes and standards.
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Data Architecture Experience: You are comfortable with data architecture and patterns for both structured and unstructured data.
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Communication: You have excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. You excel at cross functional coordination and are able to build consensus. You would describe yourself as a good listener and are enthusiastic to learn from others.
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Value Creation: You understand business needs, users, technology, and data, and collaborate with stakeholders to design and deliver data solutions that provide business value.
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Problem-Solving: You demonstrate strong analytical and problem-solving abilities, with a proactive approach to identifying issues and implementing effective solutions.
Experience You’ll Need
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5+ years experience as a Data Engineer
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3+ years experience as a people manager
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Proficiency at successfully managing large scale data engineering projects
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Hands on experience building data pipelines within a structured deployment environment
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Experience with Agile project management
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Familiarity with distributed systems like Spark, Kafka and data lakes
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Experience with cloud platforms like AWS or Azure
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Understanding of data modeling principles
Experience That’s a Plus
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Experience working with time series data
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Renewable Energy Industry expe
$124,000 - $155,000
year
FULL TIME
manager
4/22/2026
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